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Generating image captions in Polish – experimental study

机译:用波兰语生成图像字幕——实验研究

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The image captioning task focuses on generating sentences describing the content of a given image. Recently, some end-to-end solutions based on complex deep neural networks were proposed. However, most of them are producing captions in English, which is a syntactically relatively simple language. Application of captioning methods to more sophisticated languages, e.g., fusional, may cause problems due to the complex syntax. In the paper, we describe the initial results of applying the generative model to produce sentences in Polish, which is the fusional language. To validate the method, we used two datasets based on the Flickr8k database. The first is automatically translated Flickr8k, and the second one is the AIDe dataset consisting of 1000 pictures. The results were validated using BLEU, CIDEr, and BoW metrics.
机译:图像字幕任务的重点是生成描述给定图像内容的句子。最近,一些基于复杂深度神经网络的端到端解决方案被提出。然而,他们中的大多数人用英语制作字幕,这是一种语法相对简单的语言。将字幕方法应用于更复杂的语言(如fusional)可能会由于复杂的语法而导致问题。在本文中,我们描述了应用生成模型生成波兰语句子的初步结果,波兰语是一种融合语言。为了验证该方法,我们使用了基于Flickr8k数据库的两个数据集。第一个是自动翻译的Flickr8k,第二个是由1000张图片组成的AIDe数据集。使用BLEU、苹果酒和BoW指标对结果进行了验证。

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